import cv2 #OpenCV is the library that we will be using for image processing
import mediapipe as mp #Mediapipe is the framework that will allow us to get our pose estimation
import time
mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
pose = mpPose.Pose()
#pose = mpPose.Pose(static_image_mode = False, upper_body_only = True) #ONLY UPPER_BODY_TRACKING
#cap = cv2.VideoCapture(0)
cap = cv2.VideoCapture('PoseVideos/1_girl_choreography.mp4')
pTime = 0 #previous time
while True:
success, img = cap.read() #that will give it our image and then we can write the cv2.imshow()
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #convert our image to RGB because Mediapipe use that format
results = pose.process(imgRGB) #we are simply going to send this image to our model
#print(enumerate(results.pose_landmarks.landmark)) #<enumerate object at 0x0000012312DD1A00>
#so then we will check if it is detected or not
if results.pose_landmarks:
mpDraw.draw_landmarks(img, results.pose_landmarks, mpPose.POSE_CONNECTIONS)
for id, lm in enumerate(results.pose_landmarks.landmark):
h, w, c = img.shape #get dimensions(h height, w width) and the c channel of image
print(id)
print(lm)
cx, cy = int(lm.x * w), int(lm.y * h)
cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
cv2.imshow("Image", img)
cv2.waitKey(1)
I want to do what the for does but instead of doing it for all the elements (id) inside the enumerate (), do it only for the id = 25, because in this case it is the only point that interests me.
What would I need to change in this instruction of the loop that uses as iterable to this enumerate(results.pose_landmarks.landmark):
How would I enter an id[25]
and a lm[25]
?
I try with itertools, but ir does work in this case
import itertools
gen = (id, lm for id, lm in enumerate(results.pose_landmarks.landmark))
specific_id, specific_lm = 25,25 #index
print( next(itertools.islice(gen, specific_id, None)) )
CodePudding user response:
Edit: You could try:
for id, lm in enumerate(results.pose_landmarks.landmark):
if not id == 25:
continue
...
Not elegant, but gets the job done.
My old answer does not apply anymore:
This looks like a duplicate to this thread. The proposed solution was itertools.islice:
>>> gen = (x for x in range(10))
>>> index = 5
>>> next(itertools.islice(gen, index, None))
5